• DocumentCode
    3147088
  • Title

    Noise reduction for differently exposed images

  • Author

    Yao, Wei ; Li, Zhengguo ; Rahardja, Susanto

  • Author_Institution
    Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    917
  • Lastpage
    920
  • Abstract
    For scenes under low lighting condition, cameras are usually set to a high sensitivity (ISO) mode to reduce motion blur at the cost of increased image noise. When multiple differently exposed images are used to generate a high dynamic range (HDR) image, the high ISO noise from each low dynamic range (LDR) image can be further amplified by the HDR synthesis algorithm which would result in severely degradation of visual quality. This paper proposes an intensity mapping function based noise reduction method for differently exposed images with high ISO noise. The proposed method does not require any knowledge on either camera response functions or exposure times. In addition, the method is simple yet effective for noise removal from the LDR images without introducing any blurring or other artifacts.
  • Keywords
    cameras; image denoising; image motion analysis; image sensors; HDR image; ISO noise; LDR image; high dynamic range image; high sensitivity mode; intensity mapping function; low dynamic range image; motion blur reduction; noise reduction; noise reduction method; visual quality degradation; Cameras; Dynamic range; Equations; ISO; Noise; Noise measurement; Noise reduction; High dynamic range imaging; Intensity mapping function; Noise reduction; Weighted frame averaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288034
  • Filename
    6288034